TerraTrue

Founded 2018

Review privacy, AI, and security risks during the product design phase

Pricing model

Paid

You can use TerraTrue to review privacy, artificial intelligence, and security risks before writing any code. It scans product specification documents, Jira tickets, and legal contracts directly inside Notion, Confluence, and Google Docs to identify sensitive data flows and regulatory obligations early. Teams assess features against regulations such as the EU AI Act, generate data protection impact assessments, catalog data sources, and evaluate vendor risks. The system connects with engineering and legal workflows so cross-functional reviewers examine software architecture and resolve compliance blockers during the design stage.

What TerraTrue does

Conduct Data Protection Impact AssessmentsScreen AI models and features for regulatory complianceReview third-party vendor contracts for security risksCatalog and classify sensitive data across cloud databasesTrigger security reviews from project ticketsGenerate Records of Processing ActivitiesAudit production data drift against design approvalsScans product requirement documents in Confluence, Notion, and Google Docs for data risksTriggers automated privacy and security assessments directly from Jira ticketsEvaluates AI projects against the EU AI Act and state automated-decision regulationsConnects to Snowflake and Databricks to detect drift between approved plans and production dataAutomates Data Protection Impact Assessments (DPIAs) and Records of Processing Activities (ROPAs)Initiates vendor risk reviews automatically when contracts begin in Ironclad or ZipAllows querying compliance records via Claude, ChatGPT, Gemini, and Copilot through an MCP server